US10881317B2 - Post-hoc atrial fibrillation detection - Google Patents

Post-hoc atrial fibrillation detection Download PDF

Info

Publication number
US10881317B2
US10881317B2 US15/901,336 US201815901336A US10881317B2 US 10881317 B2 US10881317 B2 US 10881317B2 US 201815901336 A US201815901336 A US 201815901336A US 10881317 B2 US10881317 B2 US 10881317B2
Authority
US
United States
Prior art keywords
episode
arrhythmia
detection
cardiac signal
detected
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active, expires
Application number
US15/901,336
Other languages
English (en)
Other versions
US20180256053A1 (en
Inventor
David L. Perschbacher
Sunipa Saha
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Cardiac Pacemakers Inc
Original Assignee
Cardiac Pacemakers Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Cardiac Pacemakers Inc filed Critical Cardiac Pacemakers Inc
Priority to US15/901,336 priority Critical patent/US10881317B2/en
Assigned to CARDIAC PACEMAKERS, INC. reassignment CARDIAC PACEMAKERS, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: SAHA, SUNIPA, PERSCHBACHER, DAVID L.
Publication of US20180256053A1 publication Critical patent/US20180256053A1/en
Application granted granted Critical
Publication of US10881317B2 publication Critical patent/US10881317B2/en
Active legal-status Critical Current
Adjusted expiration legal-status Critical

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/38Applying electric currents by contact electrodes alternating or intermittent currents for producing shock effects
    • A61N1/39Heart defibrillators
    • A61N1/3956Implantable devices for applying electric shocks to the heart, e.g. for cardioversion
    • A61N1/3962Implantable devices for applying electric shocks to the heart, e.g. for cardioversion in combination with another heart therapy
    • A61B5/046
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/361Detecting fibrillation
    • A61B5/04012
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4836Diagnosis combined with treatment in closed-loop systems or methods
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6846Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be brought in contact with an internal body part, i.e. invasive
    • A61B5/6847Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be brought in contact with an internal body part, i.e. invasive mounted on an invasive device
    • A61B5/686Permanently implanted devices, e.g. pacemakers, other stimulators, biochips
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/02Details
    • A61N1/025Digital circuitry features of electrotherapy devices, e.g. memory, clocks, processors
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/362Heart stimulators
    • A61N1/3621Heart stimulators for treating or preventing abnormally high heart rate
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/362Heart stimulators
    • A61N1/365Heart stimulators controlled by a physiological parameter, e.g. heart potential
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/362Heart stimulators
    • A61N1/365Heart stimulators controlled by a physiological parameter, e.g. heart potential
    • A61N1/36507Heart stimulators controlled by a physiological parameter, e.g. heart potential controlled by gradient or slope of the heart potential
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/38Applying electric currents by contact electrodes alternating or intermittent currents for producing shock effects
    • A61N1/39Heart defibrillators
    • A61N1/395Heart defibrillators for treating atrial fibrillation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/38Applying electric currents by contact electrodes alternating or intermittent currents for producing shock effects
    • A61N1/39Heart defibrillators
    • A61N1/3956Implantable devices for applying electric shocks to the heart, e.g. for cardioversion
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/38Applying electric currents by contact electrodes alternating or intermittent currents for producing shock effects
    • A61N1/39Heart defibrillators
    • A61N1/3987Heart defibrillators characterised by the timing or triggering of the shock

Definitions

  • Ambulatory medical devices include implantable medical devices (IMDs), wearable medical devices, handheld medical devices, and other medical devices.
  • IMDs include cardiac function management (CFM) devices such as implantable pacemakers, implantable cardioverter defibrillators (ICDs), subcutaneous implantable cardioverter defibrillators (S-ICDs), cardiac resynchronization therapy devices (CRTs), and devices that include a combination of such capabilities.
  • CFM cardiac function management
  • ICDs implantable cardioverter defibrillators
  • S-ICDs subcutaneous implantable cardioverter defibrillators
  • CRTs cardiac resynchronization therapy devices
  • the devices can be used to treat patients or subjects using electrical or other therapy, or to aid a physician or caregiver in patient diagnosis through internal monitoring of a patient's condition.
  • Some implantable medical devices can be diagnostic-only devices, such as implantable loop recorders (ILRs), implantable cardiac monitors, and subcutaneously implantable heart failure monitors (SubQ HFMs).
  • the devices may include electrodes in communication with one or more sense amplifiers to monitor electrical heart activity within a patient, or can include one or more sensors to monitor one or more other patient parameters.
  • Subcutaneously implantable devices may include electrodes that are able to sense cardiac signals without being in direct contact with the patient's heart.
  • Other examples of IMDs include implantable drug delivery systems or implantable devices with neural stimulation capability (e.g., vagus nerve stimulator, baroreflex stimulator, carotid sinus stimulator, spinal cord stimulator, deep brain stimulator, etc.).
  • wearable medical devices include wearable cardioverter defibrillators (WCDs) and wearable diagnostic devices (e.g., an ambulatory monitoring vest, holter monitor, cardiac event monitor, or mobile cardiac telemetry devices).
  • WCDs can be monitoring devices that include surface electrodes.
  • the surface electrodes may be arranged to provide one or both of monitoring to provide surface electrocardiograms (ECGs) and delivery of cardioverter and defibrillator shock therapy.
  • ECGs surface electrocardiograms
  • a wearable medical device can also include a monitoring patch worn by the patient such as an adherable patch or can be included with an article of clothing worn by the patient.
  • handheld medical devices include smartphones and personal data assistants (PDAs).
  • the handheld devices can be diagnostic devices that record an electrocardiograph (ECG) or other physiological parameter while the device is resting in the patient's hand or being held to the patient's chest.
  • ECG electrocardiograph
  • CFM devices can be implantable but in some situations may not include dedicated atrial sensing capability. Additionally, some diagnostic-only implantable, wearable, and handheld devices do not include dedicated atrial sensing capability. Patients with these types of devices may develop atrial arrhythmias, such as atrial fibrillation (AF) for example. This may be especially true for heart failure patients who typically have a high incidence of AF. Knowledge that a specific patient is experiencing AF and the amount time the patient spend in AF can be useful to physicians and clinicians for diagnostic purposes or to tailor a treatment for the patient.
  • AF atrial fibrillation
  • the present subject matter relates to improving the detection or classification of atrial fibrillation and recording the fibrillation episode.
  • Example 1 can include subject matter (such as an apparatus) comprising an arrhythmia detection circuit.
  • the arrhythmia detection circuit is configured to: detect an episode of cardiac arrhythmia in the sensed cardiac signal using one or more first arrhythmia detection criteria and begin timing the duration of the arrhythmia episode; apply different arrhythmia detection criteria to a duration of the sensed cardiac signal prior to the detected episode of arrhythmia when the episode of arrhythmia is detected.
  • Example 2 the subject matter of Example 1 optionally includes a sensing circuit configured to generate a sensed cardiac signal representative of cardiac activity of a subject and operatively coupled to the arrhythmia detection circuit.
  • the arrhythmia detection circuit is configured to add the duration of the prior sensed cardiac signal to the time duration of the arrhythmia episode when arrhythmia is detected in the prior sensed cardiac signal using the different AF detection criteria; and generate a value of total time duration of the detected arrhythmia episode.
  • Example 3 the subject matter of one or both of Examples 1 and 2 optionally includes an arrhythmia detection circuit configured to: detect an episode of atrial fibrillation (AF) in the sensed cardiac signal using one or more first AF detection criteria and begin timing the duration of the AF episode; apply different AF detection criteria to a duration of the sensed cardiac signal prior to the detected episode of AF when the episode of AF is detected; add the duration of the prior sensed cardiac signal to the time duration of the AF episode when AF is detected in the prior sensed cardiac signal using the different AF detection criteria; and generate a value of total time duration of the detected AF episode.
  • AF atrial fibrillation
  • Example 4 the subject matter of one or any combination of Examples 1-3 optionally includes an arrhythmia detection circuit is configured to detect the episode of AF from the sensed cardiac signal using a plurality of AF detection criteria having first specificity and first sensitivity to AF detection, and apply a subset of the first AF detection criteria to a segment of the cardiac signal sensed prior to the detected episode of AF with at least one of different specificity or different sensitivity than the first AF detection criterion.
  • Example 5 the subject matter of one or any combination of Examples 1-4 optionally includes an arrhythmia detection circuit configured to detect the episode of AF when sensed ventricular depolarization intervals (V-V intervals) satisfy one or more of a specified V-V interval dispersion threshold, a specified V-V interval double decrement threshold, and a specified Wenkebach AF detection threshold, and classify a segment of the cardiac signal sensed prior to the detected episode as AF when using a change in one or more of the specified V-V interval dispersion threshold, the specified V-V interval double decrement threshold, and the specified Wenkebach AF detection threshold.
  • V-V intervals sensed ventricular depolarization intervals
  • Example 6 the subject matter of one or any combination of Examples 1-5 optionally includes an arrhythmia detection circuit configured to detect the episode of AF when noise in the sensed cardiac signal is less than a specified noise detection threshold, and classify the segment of the cardiac signal sensed prior to the detected episode as AF when noise in the segment satisfies a different noise detection threshold.
  • an arrhythmia detection circuit configured to detect the episode of AF when noise in the sensed cardiac signal is less than a specified noise detection threshold, and classify the segment of the cardiac signal sensed prior to the detected episode as AF when noise in the segment satisfies a different noise detection threshold.
  • Example 7 the subject matter of one or any combination of Examples 1-6 optionally includes an arrhythmia detection circuit configured to apply the first AF detection to the sensed cardiac signal according to sensing windows and count a number of the sensing windows in which AF is detected as the time duration of the AF episode, and add a sensing window prior to a first sensing window in which AF is detected to the count of the number of sensing windows when AF is detected in the prior sensing window using the different AF detection criteria.
  • an arrhythmia detection circuit configured to apply the first AF detection to the sensed cardiac signal according to sensing windows and count a number of the sensing windows in which AF is detected as the time duration of the AF episode, and add a sensing window prior to a first sensing window in which AF is detected to the count of the number of sensing windows when AF is detected in the prior sensing window using the different AF detection criteria.
  • Example 8 the subject matter of one or any combination of Examples 1-7 optionally includes a control circuit configured to trigger storage of sampled values of a segment of the sensed cardiac signal that includes the detected episode of AF when the episode of AF is detected using the first AF detection criteria, and trigger storage of sampled values of a segment of the cardiac signal that includes both the detected episode of AF and the sensed cardiac signal prior to the detected episode of AF when AF is detected in the prior sensed cardiac signal.
  • a control circuit configured to trigger storage of sampled values of a segment of the sensed cardiac signal that includes the detected episode of AF when the episode of AF is detected using the first AF detection criteria, and trigger storage of sampled values of a segment of the cardiac signal that includes both the detected episode of AF and the sensed cardiac signal prior to the detected episode of AF when AF is detected in the prior sensed cardiac signal.
  • Example 9 the subject matter of one or any combination of Examples 1-8 optionally includes an arrhythmia detection circuit is configured to accumulate a plurality of detected episodes of AF into a total time of AF burden for the subject and generate an alert according to the total time of AF burden.
  • Example 10 the subject matter of one or any combination of Examples 1-9 optionally includes a therapy circuit configured to provide electrical pacing therapy to the subject; and a control circuit configured to initiate delivery of the electrical pacing therapy according to a first pacing therapy mode, and change the pacing therapy mode according to the value of total time duration of the detected AF episode.
  • Example 11 the subject matter of one or any combination of Examples 1-10 optionally includes a therapy circuit configured to provide defibrillation shock therapy to the subject; and a control circuit configured to initiate delivery of the defibrillation shock therapy when the total time duration of the detected AF episode exceeds a specified time duration threshold.
  • Example 12 the subject matter of one or any combination of Examples 1-11 optionally includes an arrhythmia detection circuit configured to generate an indication of the start time of the episode of arrhythmia when the episode of arrhythmia is detected in the prior sensed cardiac signal.
  • an arrhythmia detection circuit configured to generate an indication of the start time of the episode of arrhythmia when the episode of arrhythmia is detected in the prior sensed cardiac signal.
  • Example 13 includes subject matter (such as a method of operating an ambulatory medical device, a means for performing acts, or a machine-readable medium including instructions that, when performed by the machine, cause the machine to perform acts), or can optionally be combined with one or any combination of Examples 1-12 to include such subject matter, comprising sensing a cardiac signal representative of cardiac activity of a subject; detecting an episode of cardiac arrhythmia in the sensed cardiac signal using one or more first arrhythmia detection criteria and timing the duration of the arrhythmia episode; applying, when the episode of arrhythmia is detected, different one or more arrhythmia detection criteria to a duration of the sensed cardiac signal prior to the detected episode of arrhythmia; adding the duration of the prior sensed cardiac signal to the time duration of the arrhythmia episode when arrhythmia is detected in the prior sensed cardiac signal using the different arrhythmia detection criteria; and providing the total time duration of the detected arrhythmia episode to a user or process.
  • subject matter such as a method of operating an ambulatory medical
  • Example 14 the subject matter of Example 13 optionally includes detecting an episode of atrial fibrillation (AF) in the sensed cardiac signal using one or more first AF detection criteria and timing the duration of the AF episode, wherein the applying the different arrhythmia detection criteria includes applying different one or more AF detection criteria to a duration of the sensed cardiac signal prior to the detected episode of AF when the episode of AF is detected.
  • AF atrial fibrillation
  • Example 15 the subject matter of Example 14 optionally includes the one or more first AF detection criteria including a plurality of AF detection criteria having first specificity and first sensitivity to detection of AF, and wherein the different one or more AF detection criteria includes a subset of the first AF detection criteria with at least one of different specificity or different sensitivity than the first AF detection criterion.
  • Example 16 the subject matter of one or both of Examples 14 and 15 optionally includes the one or more first AF detection criteria including detecting when sensed ventricular depolarization intervals (V-V intervals) satisfy one or more of a specified V-V interval dispersion threshold, a specified V-V interval double decrement threshold, and a specified Wenkebach AF detection threshold, and wherein the different one or more AF detection criteria includes a change in one or more of the specified V-V interval dispersion threshold, the specified V-V interval double decrement threshold, and the specified Wenkebach AF detection threshold.
  • V-V intervals sensed ventricular depolarization intervals
  • Example 17 the subject matter of one or any combination of Examples 13-16 optionally includes the one or more first AF detection criteria including detecting when noise in the sensed cardiac signal is less than a specified noise detection threshold, and wherein the different one or more AF detection criteria includes detecting when noise in the sensed cardia signal is less than a different specified noise detection threshold.
  • Example 18 the subject matter of one or any combination of Examples 13-17 optionally includes detecting the episode of AF during a first sensing window, wherein the timing the duration of the AF window includes counting a number of sensing windows with the AF episode, and wherein the adding the duration of the prior sensed cardiac signal to the AF episode includes adding a sensing window prior to the first sensing window to the count of the number of sensing windows with the AF episode.
  • Example 19 includes subject matter (such as a system), or can optionally be combined with one or any combination of Examples 1-18 to include such subject matter, comprising: an implantable cardiac lead including one or more implantable electrodes; a cardiac signal sensing circuit operatively coupled to the electrodes and configured to provide a sensed ventricular cardiac signal of a subject; and an arrhythmia detection circuit operatively coupled to the cardiac signal sensing circuit and configured to: detect an episode of atrial fibrillation (AF) in the sensed ventricular cardiac signal in absence of dedicated atrial chamber sensing using one or more first AF detection criteria, and begin timing the duration of the AF episode; apply different AF detection criteria to a duration of the sensed cardiac signal prior to the detected episode of AF when the episode of AF is detected; add the duration of the prior sensed cardiac signal to the time duration of the AF episode when AF is detected in the prior sensed cardiac signal using the different AF detection criteria; and generate a value of total time duration of the detected AF episode.
  • AF atrial fibrillation
  • Example 20 the subject matter of Example 19 optionally includes an arrhythmia detection circuit configured to detect the episode of AF using a plurality of AF detection criteria to the sensed cardiac signal having first specificity and first sensitivity to AF detection, and apply a subset of the first AF detection criteria to a segment of the cardiac signal sensed prior to the detected episode of AF with at least one of different specificity or different sensitivity than the first AF detection criterion.
  • an arrhythmia detection circuit configured to detect the episode of AF using a plurality of AF detection criteria to the sensed cardiac signal having first specificity and first sensitivity to AF detection, and apply a subset of the first AF detection criteria to a segment of the cardiac signal sensed prior to the detected episode of AF with at least one of different specificity or different sensitivity than the first AF detection criterion.
  • Example 21 the subject matter of one or both of Examples 19 and 20 optionally includes an arrhythmia detection circuit configured to detect the episode of AF when sensed ventricular depolarization intervals (V-V intervals) satisfy one or more of a specified V-V interval dispersion threshold, a specified V-V interval double decrement threshold, and a specified Wenkebach AF detection threshold, and classify a segment of the cardiac signal sensed prior to the detected episode as AF when using a change in one or more of the specified V-V interval dispersion threshold, the specified V-V interval double decrement threshold, and the specified Wenkebach AF detection threshold.
  • V-V intervals sensed ventricular depolarization intervals
  • Example 22 the subject matter of Example 21 optionally includes an arrhythmia detection circuit configured to detect the episode of AF when noise in the sensed cardiac signal is less than a specified noise detection threshold, and classify the segment of the cardiac signal sensed prior to the detected episode as AF when noise in the segment satisfies a different noise detection threshold.
  • an arrhythmia detection circuit configured to detect the episode of AF when noise in the sensed cardiac signal is less than a specified noise detection threshold, and classify the segment of the cardiac signal sensed prior to the detected episode as AF when noise in the segment satisfies a different noise detection threshold.
  • Example 23 can include, or can optionally be combined with any portion or combination of any portions of any one or more of Examples 1-22 to include, subject matter that can include means for performing any one or more of the functions of Examples 1-22, or a machine-readable medium including instructions that, when performed by a machine, cause the machine to perform any one or more of the functions of Examples 1-22.
  • FIG. 1 is an illustration of an example of portions of a medical device system that includes an IMD.
  • FIGS. 2 and 3 are illustrations of further examples of an IMD.
  • FIG. 5 is a flow diagram of an example of a method of operating an ambulatory medical device.
  • FIG. 7 shows a representation of a sensed cardiac signal.
  • FIG. 9 shows a graph of an example of a heart rate distribution for normal sinus rhythm.
  • FIG. 11 is an illustration of an example of arrhythmia detection windows.
  • FIG. 12 is a flow diagram of another example of a method of operating an ambulatory medical device.
  • An ambulatory medical device can include one or more of the features, structures, methods, or combinations thereof described herein.
  • a cardiac monitor or a cardiac stimulator may be implemented to include one or more of the advantageous features or processes described below. It is intended that such a monitor, stimulator, or other ambulatory device need not include all of the features described herein, but may be implemented to include selected features that provide for unique structures or functionality. Such a device may be implemented to provide a variety of therapeutic or diagnostic functions.
  • FIG. 1 is an illustration of an example of portions of a system 100 that includes an ambulatory medical device that is an IMD 105 .
  • the IMD 105 include, without limitation, a pacemaker, a cardioverter, a defibrillator, and other cardiac monitoring and therapy delivery devices, including cardiac devices that include or work in coordination with one or more neuro-stimulating devices, drugs, drug delivery systems, or other therapies.
  • the system 100 shown is used to treat cardiac arrhythmias.
  • the IMD 105 typically includes an electronics unit coupled by one or more cardiac leads 115 to a heart of a patient or subject.
  • the electronics unit of the IMD 105 typically includes components that are enclosed in a hermetically-sealed housing sometimes referred to as a canister or “can.”
  • the system 100 also typically includes an IMD programmer or other external system 190 that communicates one or more wireless signals 185 with the IMD 105 , such as by using radio frequency (RF) or by one or more other telemetry methods.
  • RF radio frequency
  • the example shown includes a right ventricular (RV) lead 115 having a proximal end and a distal end.
  • the proximal end is coupled to a header connector 107 .
  • the distal end is configured for placement in the RV.
  • the RV lead 115 can include one or more of a proximal defibrillation electrode 116 , a distal defibrillation electrode 118 (e.g., RV Coil), an RV tip electrode 120 A, and an RV ring electrode 120 B.
  • the defibrillation electrode 116 is generally incorporated into the lead body such as in a location suitable for supraventricular placement in the superior vena cava (e.g., SVC Coil).
  • the RV lead 115 includes a ring electrode 132 (e.g., SVC ring) in the vicinity of the proximal defibrillation electrode 116 .
  • the defibrillation electrode 118 is incorporated into the lead body near the distal end, such as for placement in the RV.
  • the RV electrodes 120 A and 120 B can form a bipolar electrode pair and are generally incorporated into the lead body at the lead distal end.
  • the electrodes 116 , 118 , 120 A, and 120 B are each electrically coupled to IMD 105 , such as through one or more conductors extending within the lead body.
  • the proximal defibrillation electrode 116 , distal defibrillation electrode 118 , or an electrode formed on the can of IMD 105 allow for delivery of cardioversion or defibrillation pulses to the heart.
  • the RV tip electrode 120 A, RV ring electrode 120 B, or an electrode formed on the can of IMD 105 allow for sensing an RV electrogram signal representative of RV depolarizations and delivering RV pacing pulses.
  • the 1 MB 105 includes a sense amplifier circuit to provide amplification or filtering of the sensed signal. Sensing and pacing allows the 1 MB 105 to adjust timing of the heart chamber contractions.
  • the 1 MB 105 can be an ICD with single ventricular chamber sensing.
  • the ICD can include an electrode attached to a single ventricular lead, and use intrinsic cardiac signals sensed with the ventricular electrode for arrhythmia detection and discrimination (e.g., by rate sensing and/or depolarization signal morphology analysis).
  • An IMD may be a diagnostic-only device that does not provide electrical therapy to the patient. Note that the specific arrangement of leads and electrodes are shown the illustrated example of FIG. 1 is intended to be non-limiting.
  • FIG. 2 is an illustration of another example of portions of a system 200 that includes an S-ICD 205 .
  • the S-ICD 205 is implantable subcutaneously and includes a lead 215 .
  • the lead 215 is implanted subcutaneously and the proximal end of the lead 215 is coupled to a header connector 207 .
  • the lead 215 can include electrode 220 A and electrode 220 B to sense ventricular depolarization (e.g., using far-field sensing), but in the example illustrated, the lead does not include any electrodes that directly contact the heart.
  • the lead 215 includes a defibrillation electrode 218 that may be a coil electrode.
  • the S-ICD 205 may provide one or more of cardioversion therapy and defibrillation high energy shock therapy to the heart using the defibrillation electrode 218 and an electrode formed on the can of the S-ICD 205 .
  • the S-ICD 205 may also provide pacing pulses for anti-tachycardia therapy or bradycardia therapy. Note that atrial leads are not provided in the arrangement of the electrodes, but electrodes 220 A and 220 B allow for sensing a far-field ventricular electrogram signal.
  • FIG. 3 is an illustration of an example of an IMD that is a leadless cardiac pacemaker 305 .
  • the leadless pacemaker 305 is shown positioned within a ventricular chamber, but the leadless pacemaker 305 may be positioned at other locations of the heart.
  • the leadless pacemaker 305 example has a cylindrical housing and may include one or more electrodes arranged along the cylindrical housing to sense electrical signals of the heart and/or provide electrical stimulation for pacing the heart. In some instances the one or more electrodes may be used for communication.
  • the leadless pacemaker 305 may include a mechanism 330 to secure the leadless pacemaker 305 to the heart. Examples of the fixation mechanism can include one or more tines, or one or more helix-shaped fixation mechanisms.
  • the electrodes may not be in direct contact with the atrium, but the electrodes may provide an RV electrogram signal.
  • an IMD include an implantable cardiac recorder (ICM).
  • the ICM may be a diagnostic device inserted subcutaneously to monitor the electrical signals and, depending on the device, other signals of the heart.
  • the ICM may include two or more electrodes on the housing and/or header of the device to sense the electrical signals of the heart. In some cases, no electrodes are provided in or on the heart.
  • FIG. 4 is an illustration of portions of another example of a medical device system 400 .
  • the system 400 may include one or more ambulatory medical devices, such as a conventionally implantable or subcutaneously implantable medical device 405 , a wearable medical device 410 , or a handheld medical device 403 , or any other medical device described herein.
  • One or more of the medical devices can include a communication circuit (e.g., a telemetry circuit) to communicate an indication of cardiac arrhythmia (e.g., AF) to a communication system 407 .
  • a communication circuit e.g., a telemetry circuit
  • the communication system 407 can include an external communication device 412 and a remote system 414 that communicates with the external communication device 412 via a network 418 (e.g., the internet, a proprietary computer network, or a cellular phone network).
  • the remote system 414 may include a server 416 remotely located from the external communication device 412 and the subject to perform further processing of the cardiac data or other patient management functions.
  • the external communication device 412 may include a programmer to program parameters of the implantable medical device.
  • One or both of the external communication device 412 and the remote system 414 may include a display to present the indication of arrhythmia to a user, such as a clinician.
  • FIG. 5 is a flow diagram of an example of a method 500 of controlling operation of an ambulatory medical device system to detect atrial arrhythmias.
  • a cardiac signal representative of cardiac activity of a subject is sensed by the device.
  • an episode of atrial arrhythmia e.g., AF
  • the medical device begins timing the duration of the detected arrhythmia episode.
  • the device analyzes a duration of the cardiac signal sensed prior to the detected episode of arrhythmia using a different arrhythmia detection criterion or criteria.
  • the different detection criteria for the arrhythmia may change one or both of the sensitivity and specificity of the arrhythmia detection from the first criteria.
  • Sensitivity refers to the ability of the detection scheme of a device to effectively detect an abnormal heart rhythm that the device may treat.
  • Specificity refers to the ability of the detection scheme of a device to correctly identify heart rhythm that the device is not intended to detect or treat (e.g., normal rhythms, other types of arrhythmias, or noise mistakenly identified as cardiac arrhythmia).
  • the sensitivity of the arrhythmia detection may be changed to be more inclusive of possible arrhythmia in the signal segment prior to the detected episode.
  • the prior signal segment may be sampled and stored in a memory buffer of the device (e.g., as an electrogram), and the second detection criteria is applied to the stored segment.
  • the ambulatory medical device adds the duration of the prior sensed cardiac signal to the time duration of the arrhythmia episode when arrhythmia is detected in the prior sensed cardiac signal using the different arrhythmia detection criteria. Accuracy of the device-determined total time of the arrhythmia episode can be improved by this “look-back” feature that checks whether episodes of arrhythmia were missed by the first detection criteria.
  • the device provides the duration of the detected arrhythmia episode to a user or process.
  • the ambulatory medical device detects AF in the sensed cardiac signal using first AF detection criteria and begins timing the AF episode. The device then applies different AF detection criteria to the duration of the sensed cardiac signal prior to the detected episode of AF. When AF is detected in the prior signal segment, the duration of the prior episode can be added to the total time of the AF episode. In this way, the device may detect missed episodes of AF that can be included in the total time of the AF episodes to improve determination of AF burden for the patient or subject.
  • the ambulatory medical device may store electrograms or ECGs of detected arrhythmia episodes.
  • the look-back feature allows for the prior signal segment to be included in the stored electrogram or ECG to be later uploaded from the device for analysis by a clinician if the arrhythmia is detected in the prior segment.
  • the look-back feature may prevent the additional information from being lost or ignored.
  • the additional information obtained can be reviewed by a clinician and used to adjust a treatment of the patient.
  • This adjusting can include adjusting drug titration, changing the drug used in the therapy, prescribing an implantable medical device for the patient, adjusting the therapy (e.g. electrostimulation therapy) of an implantable device prescribed to the patient, or ordering an ablation procedure for the patient.
  • therapy e.g. electrostimulation therapy
  • FIG. 6 is a block diagram of portions of an example of an ambulatory medical device.
  • the device 600 includes a sensing circuit 610 , a control circuit 615 , an arrhythmia detection circuit 620 , and may include a memory 625 .
  • the sensing circuit 610 may generate a sensed cardiac signal representative of cardiac activity of a subject.
  • the sensing circuit 610 may be electrically coupled to one or more implantable electrodes included in a lead arranged for placement in a heart chamber.
  • the sensing circuit 610 may be electrically coupled to one or more implantable electrodes included in a leadless implantable medical device.
  • the sensing circuit 610 may be electrically coupled to one or more implantable electrodes configured to sense cardiac signals without direct cardiac contact with the subject (e.g., a subcutaneously implantable electrode).
  • the sensing circuit 610 , the control circuit 615 , the arrhythmia detection circuit 620 , and the memory 625 are included in a wearable device or a handheld device.
  • the memory can be included in a separate device or can be a central memory located in a network “cloud.”
  • the control circuit 615 may include a microprocessor, a digital signal processor, application specific integrated circuit (ASIC), or other type of processor, interpreting or executing instructions included in software or firmware.
  • the memory 625 may be integral to or separate from the control circuit 615 .
  • the arrhythmia detection circuit 620 may also be integral to the control circuit 615 or may be separate from the control circuit 615 .
  • the sensing circuit 610 is included in a first device and the arrhythmia detection circuit and the control circuit are included in a second separate device.
  • the first device is implantable and the second devices is external.
  • the arrhythmia detection circuit 620 may detect an episode of cardiac arrhythmia in the sensed cardiac signal using one or more arrhythmia detection criteria. For instance, the arrhythmia detection circuit 620 may be configured to detect AF. In some examples, the arrhythmia detection circuit 620 uses ventricular depolarization (V-V) interval dispersion to detect AF.
  • V-V ventricular depolarization
  • FIG. 7 shows a representation of a sensed cardiac signal 705 .
  • the sensed signal is shown having a number of R-waves 710 .
  • the V-V intervals can be determined as intervals between R-waves.
  • RR 1 in the Figure refers to the first interval between the first two R-waves;
  • RR 2 is the second interval between the second R-wave and the third R-wave, and so on.
  • Differences between the V-V intervals are referred to ⁇ RR 1,2 (e.g., the difference between the RR 2 and RR 1 ), ⁇ RR 2,3 and so on.
  • FIG. 8 shows an example of a sensed physiological signal having a first region 805 corresponding to NSR and a second region 810 corresponding to AF.
  • the V-V intervals may be more regular and the differences in the V-V intervals will be small.
  • the V-V intervals may be more disperse and the values of the differences in the V-V intervals may be more varied than for NSR.
  • the arrhythmia detection circuit 620 may include a peak detector circuit to detect R-waves in the sensed physiological signal to determine V-V intervals.
  • the arrhythmia detection circuit 620 may sample the V-V intervals and store the samples in device memory 625 or a different memory.
  • the arrhythmia detection circuit 620 may determine differences between the V-V intervals and determine a measure of V-V interval dispersion using the determined V-V interval differences.
  • the arrhythmia detection circuit 620 determines the differences in the V-V intervals and may classify the interval differences as one of stable or unstable.
  • the interval difference classifications can be used to determine V-V interval dispersion.
  • An interval difference may be classified as stable when the interval difference is less than a specified threshold difference value from an immediately previous interval difference.
  • An interval difference may be classified as unstable when the interval difference is more than the specified threshold difference value from the immediately previous interval difference.
  • the threshold difference value is a value corresponding to less than a 10 bpm difference in rate between the two intervals.
  • the arrhythmia detection circuit 620 detects AF when sensed V-V intervals satisfy a specified V-V interval double decrement threshold.
  • An interval double decrement occurs when two consecutive V-V intervals occur in which heart rate decreases in both intervals.
  • RR 1 is 857 ms corresponding to 70 bpm and RR 2 is 1000 ms corresponding to 60 bpm
  • a double decrement occurs if the next interval RR 3 is greater than 1000 ms (e.g., 1090 ms corresponding to the 55 bpm). If RR 3 is less than 1000 ms, heart rate did not decrease in two consecutive V-V intervals and a double decrement did not occur.
  • the arrhythmia detection circuit may detect AF when the number of double decrement intervals exceeds a specified fraction or percentage of the intervals.
  • Premature atrial contractions can cause false positives in AF detection schemes.
  • Including the double decrement detection criterion in an AF detection scheme can reduce false positives.
  • the threshold fraction or percentage can be lowered to make the detection more sensitive or raised to make the detection more specific for AF detection.
  • the arrhythmia detection circuit 620 detects AF when sensed V-V intervals satisfy a specified V-V interval Wenkebach threshold.
  • Wenkebach detection involves an analysis of how truly irregular is an arrhythmia that first appears to be irregular, but may actually include some regularity or pattern.
  • the arrhythmia detection circuit 620 may detect AF when the measured Wenkebach regularity of the rhythm is less than a specified Wenkebach threshold. For instance, measuring the regularity may include determining one or both of similar maximum heart rate and similar minimum heart rate.
  • the arrhythmia detection circuit 620 may look for a consecutive number of X-beat windows in the sensed cardiac signal, where X is a positive integer greater than one (e.g., 2, 3 . . . or 7 beat windows). Multiple different window sizes are applied to the sensed cardiac signal.
  • the arrhythmia detection circuit 620 determines the highest percentage of X-beat windows with similar maximum heart rates (and/or similar minimum heart rates).
  • a “similar” maximum or minim heart rate means that the max (or min) for a given window is within, as an example, +/ ⁇ 5 bpm of the previous window max (or min).
  • the arrhythmia detection circuit 620 does not detect AF. If the fraction or percentage of maximum heart rate (and/or minimum heart rate) of all of the window sizes are less than the specified Wenkebach threshold, the arrhythmia detection circuit 620 detects AF. In the example of Table I, 20% of the consecutive 2-beat windows had a similar maximum heart rate and 25% had a similar minimum heart rate, and 75% of the consecutive 7-beat windows had similar maximum heart rates and 80% had similar minimum heart rates. If the Wenkebach threshold percentage is specified as 40%, the arrhythmia detection circuit 620 would not detect AF in the example.
  • window sizes 4 through 7 would negate a finding of AF because a repeating pattern is found for those window sizes that meets the Wenkebach detection criterion.
  • the threshold fraction or percentage can be raised to make the detection more sensitive or lowered to make the detection more specific for AF detection.
  • the arrhythmia detection circuit 620 may detect AF when the determined score satisfies a specified AF detection threshold.
  • the detection for AF can be adjusted to be more sensitive or less sensitive by adjusting the threshold score.
  • FIG. 10 shows a graph of an example of a heart rate distribution for a patient in AF. It can be seen that heart rate is less regular in AF than in NSR. In the example of FIG. 10 , the HRDI is approximately 23%. AF can be detected when the HRDI is less than a specified detection threshold fraction or percentage. The detection for AF can be adjusted to be more sensitive or less sensitive by adjusting the detection threshold.
  • the control circuit 615 may begin timing the duration of the arrhythmia episode.
  • a determination of the total time that the subject is in AF (the AF burden) can be impacted when AF detection thresholds are applied to an atrial rhythm that is fluctuating around the AF detection thresholds.
  • the medical device may be configured to detect AF using one or more criteria that may miss arrhythmias that belong to the AF episode.
  • all of the detection thresholds can be made more sensitive to detect more AF, or can be made more specific to be more discriminatory in what is classified as AF.
  • the look-back criteria is determined using the normal sinus rhythm (NSR) of the subject as a baseline.
  • NSR normal sinus rhythm
  • the arrhythmia detection circuit 620 sets the threshold in the look-back detection criteria to be between the value used in the initial AF detection and the value when the subject is in NSR.
  • the cardiac signal sensing circuit may not include dedicated sensing circuits for the atrial chambers of the subject.
  • the AF detection is applied to a cardiac signal sensed by a ventricular sensing circuit or circuits.
  • the device-based AF detection methods of measuring V-V interval dispersion, detection of V-V interval double-decrements, measuring V-V interval Wenkebach regularity, measuring HRDI, and performing morphology analysis can be implemented with only ventricular sensing. In this way, AF can be detected without including dedicated atrial sensing in the ambulatory medical device. If atrial sensing circuits are available, other criterion can be used for the AF detection.
  • the AF window count is incremented to include the non-AF window, and the process continues applying the first AF detection criteria to new windows at 1220 . If the AF window is noisy, the process continues at 1220 and the first AF detection criteria continues to be applied to new windows. If AF continues to be detected, the AF window count is incremented at 1225 . If AF is no longer detected, the process returns to looking for AF at 1205 .
  • the AF window count can be used to determine the duration of the AF episode. Multiple detected AF episodes can be accumulated into a total time of AF burden for the subject.
  • the stored signal segment can be transferred to the event storage buffer.
  • the memory portion storing the cardiac signal segment is re-designated as non-temporary storage and the contents are not transferred.
  • the event storage buffer then includes both the detected episode of AF and the sensed cardiac signal prior to the detected episode of AF.
  • the stored cardiac signal includes the AF onset or start of the AF episode, which may otherwise be lost. Because the actual AF onset may occur during the look back window, the look-back feature can improve accuracy in reporting of the time of the onset of AF.
  • the arrhythmia detection circuit may generate an indication of the start time of the episode of arrhythmia when the episode of arrhythmia is detected in the prior sensed cardiac signal. The indication may be the time of the onset stored in a memory location that can be later uploaded, or the indication of the start time can be included in a report that lists different parameters of the AF episode such as start time and the duration of the episode.
  • the system or device does not require direct atrial activity sensing for atrial arrhythmias detection, the system complexity and implementation cost may be reduced. It may particularly be beneficial for patient not indicated for atrial lead implantation either for atrial activity sensing or for atrial pacing.
  • the device-based arrhythmia detection also allows for more efficient use of device memory, such as by correctly storing heart rate statistics that are clinically relevant to arrhythmia recognition. Because onset of AF is more accurately reported, fewer unnecessary drugs and procedures can be scheduled, prescribed, or provided, and the overall management of the patient's cardiac disease can be improved.
  • the terms “a” or “an” are used, as is common in patent documents, to include one or more than one, independent of any other instances or usages of “at least one” or “one or more.”
  • the term “or” is used to refer to a nonexclusive or, such that “A or B” includes “A but not B,” “B but not A,” and “A and B,” unless otherwise indicated.
  • Method examples described herein can be machine or computer-implemented at least in part. Some examples can include a computer-readable medium or machine-readable medium encoded with instructions operable to configure an electronic device to perform methods as described in the above examples.
  • An implementation of such methods can include code, such as microcode, assembly language code, a higher-level language code, or the like. Such code can include computer readable instructions for performing various methods. The code can form portions of computer program products. Further, the code can be tangibly stored on one or more volatile or non-volatile computer-readable media during execution or at other times.
  • a carrier medium can carry code implementing the methods.
  • carrier medium can be used to represent carrier waves on which code is transmitted.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Cardiology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Veterinary Medicine (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Physiology (AREA)
  • Electrotherapy Devices (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
US15/901,336 2017-03-07 2018-02-21 Post-hoc atrial fibrillation detection Active 2038-11-23 US10881317B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US15/901,336 US10881317B2 (en) 2017-03-07 2018-02-21 Post-hoc atrial fibrillation detection

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762468194P 2017-03-07 2017-03-07
US15/901,336 US10881317B2 (en) 2017-03-07 2018-02-21 Post-hoc atrial fibrillation detection

Publications (2)

Publication Number Publication Date
US20180256053A1 US20180256053A1 (en) 2018-09-13
US10881317B2 true US10881317B2 (en) 2021-01-05

Family

ID=61527574

Family Applications (1)

Application Number Title Priority Date Filing Date
US15/901,336 Active 2038-11-23 US10881317B2 (en) 2017-03-07 2018-02-21 Post-hoc atrial fibrillation detection

Country Status (5)

Country Link
US (1) US10881317B2 (fr)
EP (1) EP3592419B1 (fr)
JP (1) JP6946448B2 (fr)
CN (1) CN110573211B (fr)
WO (1) WO2018164840A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11051746B2 (en) 2014-08-14 2021-07-06 Cardiac Pacemakers, Inc. Atrial fibrillation detection using ventricular rate variability

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9999368B2 (en) 2015-04-02 2018-06-19 Cardiac Pacemakers, Inc. Atrial fibrillation detection
EP3328483B1 (fr) 2015-07-30 2021-09-01 Cardiac Pacemakers, Inc. Déclenchement d'électrogrammes de fibrillation auriculaire dans un dispositif implantable
EP3592419B1 (fr) 2017-03-07 2021-07-14 Cardiac Pacemakers, Inc. Détection de fibrillation auriculaire post-hoc
EP3908178A1 (fr) 2019-01-09 2021-11-17 Cardiac Pacemakers, Inc. Système pour améliorer la détection d'une fibrillation auriculaire
CN112971790A (zh) * 2019-12-18 2021-06-18 华为技术有限公司 一种心电信号的检测方法、装置、终端以及存储介质
US11559242B2 (en) 2020-01-30 2023-01-24 Pacesetter, Inc. Methods and systems for distinguishing over-sensed R-R intervals from true R-R intervals
US11647940B2 (en) 2020-05-04 2023-05-16 Pacesetter, Inc R-R interval pattern recognition for use in arrhythmia discrimination
US11766207B2 (en) 2020-06-01 2023-09-26 Pacesetter, Inc. Methods, devices and systems for improving R-wave detection and arrhtymia detection accuracy

Citations (60)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5562709A (en) 1995-04-18 1996-10-08 Incontrol, Inc. Atrial defibrillator having both specific and sensitive R wave detection
US5622178A (en) 1994-05-04 1997-04-22 Spacelabs Medical, Inc. System and method for dynamically displaying cardiac interval data using scatter-plots
JPH10504897A (ja) 1994-07-08 1998-05-12 ヴィジブル ジェネティクス インク. 患者試料由来dna中変異の試験方法
JPH10127590A (ja) 1996-06-18 1998-05-19 Ela Medical Sa 改善された頻拍性不整脈識別方法および装置
JPH11503038A (ja) 1995-03-30 1999-03-23 メドトロニック・インコーポレーテッド 優先順位付けルール・ベース方式を採用した不整脈の診断及び治療のための方法及び装置
US20010034539A1 (en) 2000-03-21 2001-10-25 Stadler Robert W. Method and apparatus for detection and treatment of tachycardia and fibrillation
US20020065473A1 (en) 2000-11-28 2002-05-30 Medtronic, Inc. Method and apparatus for discrimination atrial fibrillation using ventricular rate detection
US6490479B2 (en) 2000-12-28 2002-12-03 Ge Medical Systems Information Technologies, Inc. Atrial fibrillation detection method and apparatus
US20040092836A1 (en) 2002-11-11 2004-05-13 Medtronic, Inc. Algorithms for detecting atrial arrhythmias from discriminatory signatures of ventricular cycle lengths
JP2004524074A (ja) 2000-12-27 2004-08-12 メドトロニック・インコーポレーテッド リードレス全自動のペースメーカフォローアップ
US20050080347A1 (en) 2003-10-10 2005-04-14 Medtronic, Inc. Method and apparatus for detecting and discriminating arrhythmias
US20050154421A1 (en) * 2004-01-08 2005-07-14 Medtronic, Inc. Reducing inappropriate delivery of therapy for suspected non-lethal arrhythmias
US6931273B2 (en) 2000-04-11 2005-08-16 University Of California San Francisco Database of body surface ECG P wave integral maps for localization of left-sided atrial arrhythmias
US20060195037A1 (en) 2005-02-25 2006-08-31 Joseph Wiesel Detecting atrial fibrillation, method of and apparatus for
CN1829554A (zh) 2003-05-29 2006-09-06 卡梅伦保健公司 用于区别室性和室上性心律失常的方法
US7115096B2 (en) 2003-12-24 2006-10-03 Cardiac Pacemakers, Inc. Third heart sound activity index for heart failure monitoring
JP2006524106A (ja) 2003-04-11 2006-10-26 カーディアック ペースメーカーズ,インコーポレイテッド 多パラメータ不整脈識別
US20060247548A1 (en) 2005-04-29 2006-11-02 Shantanu Sarkar Method and apparatus for detection of tachyarrhythmia using cycle lengths
US20070038253A1 (en) 2005-07-08 2007-02-15 Jaeho Kim Dual sensing for brady-tachy pacemaker/ICD
US20070100248A1 (en) 2005-10-31 2007-05-03 Van Dam Peter M Method of and apparatus for classifying arrhythmias using scatter plot analysis
CN1989897A (zh) 2005-12-29 2007-07-04 深圳迈瑞生物医疗电子股份有限公司 基于复杂度的心室纤颤综合检测方法
US7308306B1 (en) 1999-12-23 2007-12-11 Pacesetter, Inc. System and method for dynamic ventricular overdrive pacing
US7353057B2 (en) 2003-05-13 2008-04-01 Gme Rechte Und Beteiligungen Gmbh Apparatus and method for detecting atrial fibrillation
US20080161703A1 (en) 2006-12-28 2008-07-03 Houben Richard P M Method and Apparatus for Atrial Arrhythmia Detection
US20080188764A1 (en) 2006-10-30 2008-08-07 Lee Brian B Method and apparatus for atrial fibrillation detection based on ventricular cycle lengths
US7412282B2 (en) 2005-01-26 2008-08-12 Medtronic, Inc. Algorithms for detecting cardiac arrhythmia and methods and apparatuses utilizing the algorithms
US20080288009A1 (en) 2007-05-16 2008-11-20 Jaeho Kim Self-adjusting ecg morphological feature correlation threshold
US20090112110A1 (en) 2007-10-24 2009-04-30 Siemens Medical Solutions Usa, Inc. System for Cardiac Medical Condition Detection and Characterization
JP2009089883A (ja) 2007-10-09 2009-04-30 Konica Minolta Sensing Inc 心房細動検出装置、システムおよび方法
US7566308B2 (en) 2005-10-13 2009-07-28 Cardiac Pacemakers, Inc. Method and apparatus for pulmonary artery pressure signal isolation
US7596405B2 (en) 2005-03-07 2009-09-29 United Therapeutics Corporation Atrial fibrillation detection
US20100057152A1 (en) 2008-09-04 2010-03-04 Jaeho Kim Sustaining ventricular tachycardia detection
US20100168597A1 (en) 2005-12-13 2010-07-01 Jaeho Kim Zoneless tachyarrhythmia detection with real-time rhythm monitoring
US20100274149A1 (en) 2009-04-22 2010-10-28 Dan Li Methods for detecting atrial tachyarrhythmia in implantable devices without dedicated atrial sensing
US20100305642A1 (en) 2009-05-27 2010-12-02 Yanting Dong Adaptive event storage in implantable device
CN101925381A (zh) 2008-01-29 2010-12-22 心脏起搏器股份公司 可配置的间歇性起搏治疗
CN101969842A (zh) 2008-01-14 2011-02-09 皇家飞利浦电子股份有限公司 房颤监测
US7899531B1 (en) 2006-08-22 2011-03-01 Pacesetter, Inc. Neural sensing for atrial fibrillation
US20110152957A1 (en) 2009-12-21 2011-06-23 Cem Shaquer Chaos-based detection of atrial fibrillation using an implantable medical device
US7970468B1 (en) 2007-03-08 2011-06-28 Pacesetter, Inc. Method for programming arrhythmia discrimination algorithms in ICDs
US20120004566A1 (en) 2010-06-30 2012-01-05 Xusheng Zhang System and method for establishing episode profiles of detected tachycardia episodes
EP2407097A1 (fr) 2010-07-13 2012-01-18 BIOTRONIK SE & Co. KG Procédé et appareil de détection sonore dans des signaux physiologiques
US20120035489A1 (en) 2010-08-06 2012-02-09 Yanting Dong Rhythm discrimination enhancement - chamber of tachy origination
US20120101541A1 (en) 2010-10-26 2012-04-26 Medtronic, Inc. Diagnosis and therapy of bigeminy and frequent premature contractions
US20120238891A1 (en) 2011-03-17 2012-09-20 Medtronic, Inc. Methods for ectopy rejection for atrial fibrillation detection based on ventricular cycle lengths
US20120238892A1 (en) 2011-03-17 2012-09-20 Medtronic, Inc. Method and apparatus for noise rejection in atrial arrhythmia detection
US8326407B2 (en) 2004-10-19 2012-12-04 University Of Washington Long-term monitoring for discrimination of different heart rhythms
WO2013020710A1 (fr) 2011-08-11 2013-02-14 Applied Biomedical Systems B.V. Procédé de détection d'une fibrillation auriculaire dans un électrocardiogramme
US20130150911A1 (en) 2011-12-12 2013-06-13 David L. Perschbacher Methods and systems for identifying and using heart rate variability and heart rate variation
JP2013535236A (ja) 2010-07-01 2013-09-12 カーディアック ペースメイカーズ, インコーポレイテッド 律動相関診断測定
US20130296680A1 (en) 2012-05-03 2013-11-07 University Of Washington Through Its Center For Commercialization Arrhythmia detection using hidden regularity to improve specificity
US20140323894A1 (en) 2013-04-26 2014-10-30 Medtronic, Inc. Staged rhythm detection system and method
US20150088216A1 (en) 2013-09-25 2015-03-26 Medtronic, Inc. Method and apparatus for automatic configuration of implantable medical devices
US20160045125A1 (en) 2014-08-14 2016-02-18 Cardiac Pacemakers, Inc. Atrial fibrillation detection using ventricular rate variability
US20160175603A1 (en) 2014-12-23 2016-06-23 Medtronic, Inc. Hemodynamically unstable ventricular arrhythmia detection
WO2016134161A1 (fr) 2015-02-18 2016-08-25 Medtronic, Inc. Appareil pour détection d'épisode d'arythmie auriculaire
WO2016160674A1 (fr) 2015-04-02 2016-10-06 Cardiac Pacemakers, Inc. Détection de fibrillation auriculaire
WO2017019178A1 (fr) 2015-07-30 2017-02-02 Cardiac Pacemakers, Inc. Déclenchement d'électrogrammes de fibrillation auriculaire dans un dispositif implantable
WO2017079245A1 (fr) 2015-11-06 2017-05-11 Cardiac Pacemakers, Inc. Système pour une détection de fibrillation auriculaire améliorée
WO2018164840A1 (fr) 2017-03-07 2018-09-13 Cardiac Pacemakers, Inc. Détection de fibrillation auriculaire post-hoc

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3069929B2 (ja) * 1992-01-14 2000-07-24 石原 謙 超音波診断装置
JP5456794B2 (ja) * 2009-02-06 2014-04-02 カーディアック ペースメイカーズ, インコーポレイテッド 埋め込み型デバイス内の相互チャネルノイズ検出器
WO2015088695A1 (fr) * 2013-12-10 2015-06-18 Cardiac Pacemakers, Inc. Mesure de la charge de fibrillation auriculaire à l'aide de détecteurs basés sur un dispositif implantable.
CN106456003A (zh) * 2014-06-02 2017-02-22 心脏起搏器股份公司 评估心房纤维性颤动的血液动力学反应
JP2017042386A (ja) * 2015-08-27 2017-03-02 セイコーエプソン株式会社 生体情報処理システム及びプログラム

Patent Citations (91)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5622178A (en) 1994-05-04 1997-04-22 Spacelabs Medical, Inc. System and method for dynamically displaying cardiac interval data using scatter-plots
JPH10504897A (ja) 1994-07-08 1998-05-12 ヴィジブル ジェネティクス インク. 患者試料由来dna中変異の試験方法
JPH11503038A (ja) 1995-03-30 1999-03-23 メドトロニック・インコーポレーテッド 優先順位付けルール・ベース方式を採用した不整脈の診断及び治療のための方法及び装置
US5562709A (en) 1995-04-18 1996-10-08 Incontrol, Inc. Atrial defibrillator having both specific and sensitive R wave detection
JPH10127590A (ja) 1996-06-18 1998-05-19 Ela Medical Sa 改善された頻拍性不整脈識別方法および装置
US7308306B1 (en) 1999-12-23 2007-12-11 Pacesetter, Inc. System and method for dynamic ventricular overdrive pacing
US20010034539A1 (en) 2000-03-21 2001-10-25 Stadler Robert W. Method and apparatus for detection and treatment of tachycardia and fibrillation
US6931273B2 (en) 2000-04-11 2005-08-16 University Of California San Francisco Database of body surface ECG P wave integral maps for localization of left-sided atrial arrhythmias
US20020065473A1 (en) 2000-11-28 2002-05-30 Medtronic, Inc. Method and apparatus for discrimination atrial fibrillation using ventricular rate detection
JP2004524074A (ja) 2000-12-27 2004-08-12 メドトロニック・インコーポレーテッド リードレス全自動のペースメーカフォローアップ
US6490479B2 (en) 2000-12-28 2002-12-03 Ge Medical Systems Information Technologies, Inc. Atrial fibrillation detection method and apparatus
US20040092836A1 (en) 2002-11-11 2004-05-13 Medtronic, Inc. Algorithms for detecting atrial arrhythmias from discriminatory signatures of ventricular cycle lengths
US7031765B2 (en) 2002-11-11 2006-04-18 Medtronic, Inc Algorithms for detecting atrial arrhythmias from discriminatory signatures of ventricular cycle lengths
JP2006524106A (ja) 2003-04-11 2006-10-26 カーディアック ペースメーカーズ,インコーポレイテッド 多パラメータ不整脈識別
US7353057B2 (en) 2003-05-13 2008-04-01 Gme Rechte Und Beteiligungen Gmbh Apparatus and method for detecting atrial fibrillation
CN1829554A (zh) 2003-05-29 2006-09-06 卡梅伦保健公司 用于区别室性和室上性心律失常的方法
US20050080347A1 (en) 2003-10-10 2005-04-14 Medtronic, Inc. Method and apparatus for detecting and discriminating arrhythmias
US7115096B2 (en) 2003-12-24 2006-10-03 Cardiac Pacemakers, Inc. Third heart sound activity index for heart failure monitoring
US20050154421A1 (en) * 2004-01-08 2005-07-14 Medtronic, Inc. Reducing inappropriate delivery of therapy for suspected non-lethal arrhythmias
US8326407B2 (en) 2004-10-19 2012-12-04 University Of Washington Long-term monitoring for discrimination of different heart rhythms
US7412282B2 (en) 2005-01-26 2008-08-12 Medtronic, Inc. Algorithms for detecting cardiac arrhythmia and methods and apparatuses utilizing the algorithms
US20060195037A1 (en) 2005-02-25 2006-08-31 Joseph Wiesel Detecting atrial fibrillation, method of and apparatus for
US7596405B2 (en) 2005-03-07 2009-09-29 United Therapeutics Corporation Atrial fibrillation detection
US20060247548A1 (en) 2005-04-29 2006-11-02 Shantanu Sarkar Method and apparatus for detection of tachyarrhythmia using cycle lengths
JP2008539015A (ja) 2005-04-29 2008-11-13 メドトロニック・インコーポレーテッド 周期長を使用して頻脈性不整脈を検出する医療デバイス
WO2006118852A2 (fr) 2005-04-29 2006-11-09 Medtronic, Inc. Procede et dispositif pour detecter la tachyarythmie au moyen de longueurs de cycle
US20070038253A1 (en) 2005-07-08 2007-02-15 Jaeho Kim Dual sensing for brady-tachy pacemaker/ICD
US7566308B2 (en) 2005-10-13 2009-07-28 Cardiac Pacemakers, Inc. Method and apparatus for pulmonary artery pressure signal isolation
US8195280B2 (en) 2005-10-31 2012-06-05 Medtronic, Inc. Method of and apparatus for classifying arrhythmias using scatter plot analysis
US20070100248A1 (en) 2005-10-31 2007-05-03 Van Dam Peter M Method of and apparatus for classifying arrhythmias using scatter plot analysis
US7657307B2 (en) 2005-10-31 2010-02-02 Medtronic, Inc. Method of and apparatus for classifying arrhythmias using scatter plot analysis
US20100168597A1 (en) 2005-12-13 2010-07-01 Jaeho Kim Zoneless tachyarrhythmia detection with real-time rhythm monitoring
CN1989897A (zh) 2005-12-29 2007-07-04 深圳迈瑞生物医疗电子股份有限公司 基于复杂度的心室纤颤综合检测方法
US7899531B1 (en) 2006-08-22 2011-03-01 Pacesetter, Inc. Neural sensing for atrial fibrillation
US20080188764A1 (en) 2006-10-30 2008-08-07 Lee Brian B Method and apparatus for atrial fibrillation detection based on ventricular cycle lengths
US7634310B2 (en) 2006-10-30 2009-12-15 Medtronic, Inc. Method and apparatus for atrial fibrillation detection based on ventricular cycle lengths
US20080161703A1 (en) 2006-12-28 2008-07-03 Houben Richard P M Method and Apparatus for Atrial Arrhythmia Detection
US7970468B1 (en) 2007-03-08 2011-06-28 Pacesetter, Inc. Method for programming arrhythmia discrimination algorithms in ICDs
US7904142B2 (en) 2007-05-16 2011-03-08 Cardiac Pacemakers, Inc. Self-adjusting ECG morphological feature correlation threshold
US20080288009A1 (en) 2007-05-16 2008-11-20 Jaeho Kim Self-adjusting ecg morphological feature correlation threshold
JP2009089883A (ja) 2007-10-09 2009-04-30 Konica Minolta Sensing Inc 心房細動検出装置、システムおよび方法
US20090112110A1 (en) 2007-10-24 2009-04-30 Siemens Medical Solutions Usa, Inc. System for Cardiac Medical Condition Detection and Characterization
CN101969842A (zh) 2008-01-14 2011-02-09 皇家飞利浦电子股份有限公司 房颤监测
US8560058B2 (en) 2008-01-14 2013-10-15 Koninklijke Philips N.V. Real time atrial fibrillation monitoring
CN101925381A (zh) 2008-01-29 2010-12-22 心脏起搏器股份公司 可配置的间歇性起搏治疗
US20100057152A1 (en) 2008-09-04 2010-03-04 Jaeho Kim Sustaining ventricular tachycardia detection
US20100274149A1 (en) 2009-04-22 2010-10-28 Dan Li Methods for detecting atrial tachyarrhythmia in implantable devices without dedicated atrial sensing
US20100305642A1 (en) 2009-05-27 2010-12-02 Yanting Dong Adaptive event storage in implantable device
JP2012527958A (ja) 2009-05-27 2012-11-12 カーディアック ペースメイカーズ, インコーポレイテッド 埋め込み型装置内への適応的事象記憶
US20110152957A1 (en) 2009-12-21 2011-06-23 Cem Shaquer Chaos-based detection of atrial fibrillation using an implantable medical device
US20120004566A1 (en) 2010-06-30 2012-01-05 Xusheng Zhang System and method for establishing episode profiles of detected tachycardia episodes
JP2013535236A (ja) 2010-07-01 2013-09-12 カーディアック ペースメイカーズ, インコーポレイテッド 律動相関診断測定
EP2407097A1 (fr) 2010-07-13 2012-01-18 BIOTRONIK SE & Co. KG Procédé et appareil de détection sonore dans des signaux physiologiques
US20120035489A1 (en) 2010-08-06 2012-02-09 Yanting Dong Rhythm discrimination enhancement - chamber of tachy origination
US20120101541A1 (en) 2010-10-26 2012-04-26 Medtronic, Inc. Diagnosis and therapy of bigeminy and frequent premature contractions
US8639316B2 (en) 2011-03-17 2014-01-28 Medtronic, Inc. Method and apparatus for noise rejection in atrial arrhythmia detection
US20120238892A1 (en) 2011-03-17 2012-09-20 Medtronic, Inc. Method and apparatus for noise rejection in atrial arrhythmia detection
US20120238891A1 (en) 2011-03-17 2012-09-20 Medtronic, Inc. Methods for ectopy rejection for atrial fibrillation detection based on ventricular cycle lengths
WO2013020710A1 (fr) 2011-08-11 2013-02-14 Applied Biomedical Systems B.V. Procédé de détection d'une fibrillation auriculaire dans un électrocardiogramme
US20130150911A1 (en) 2011-12-12 2013-06-13 David L. Perschbacher Methods and systems for identifying and using heart rate variability and heart rate variation
US20130296680A1 (en) 2012-05-03 2013-11-07 University Of Washington Through Its Center For Commercialization Arrhythmia detection using hidden regularity to improve specificity
US20140323894A1 (en) 2013-04-26 2014-10-30 Medtronic, Inc. Staged rhythm detection system and method
US20150088216A1 (en) 2013-09-25 2015-03-26 Medtronic, Inc. Method and apparatus for automatic configuration of implantable medical devices
US20160045125A1 (en) 2014-08-14 2016-02-18 Cardiac Pacemakers, Inc. Atrial fibrillation detection using ventricular rate variability
WO2016025704A1 (fr) 2014-08-14 2016-02-18 Cardiac Pacemakers, Inc. Détection de fibrillation auriculaire à l'aide de la variabilité de la fréquence ventriculaire
CN106659407A (zh) 2014-08-14 2017-05-10 心脏起搏器股份公司 使用心室速率变化性的心房颤动检测
JP6434129B2 (ja) 2014-08-14 2018-12-05 カーディアック ペースメイカーズ, インコーポレイテッド 心拍数変動を用いた心房細動の検出
AU2015301633B2 (en) 2014-08-14 2018-05-17 Cardiac Pacemakers, Inc. Atrial fibrillation detection using ventricular rate variability
JP2017527356A (ja) 2014-08-14 2017-09-21 カーディアック ペースメイカーズ, インコーポレイテッド 心拍数変動を用いた心房細動の検出
US20160175603A1 (en) 2014-12-23 2016-06-23 Medtronic, Inc. Hemodynamically unstable ventricular arrhythmia detection
WO2016134161A1 (fr) 2015-02-18 2016-08-25 Medtronic, Inc. Appareil pour détection d'épisode d'arythmie auriculaire
EP3259027A1 (fr) 2015-02-18 2017-12-27 Medtronic Inc. Appareil pour détection d'épisode d'arythmie auriculaire
US20160287115A1 (en) 2015-04-02 2016-10-06 Cardiac Pacemakers, Inc. Atrial fibrillation detection
US20180242869A1 (en) 2015-04-02 2018-08-30 Cardiac Pacemakers, Inc. Atrial fibrillation detection
US10542902B2 (en) 2015-04-02 2020-01-28 Cardiac Pacemakers, Inc. Atrial fibrillation detection
WO2016160674A1 (fr) 2015-04-02 2016-10-06 Cardiac Pacemakers, Inc. Détection de fibrillation auriculaire
CN107529988A (zh) 2015-04-02 2018-01-02 心脏起搏器股份公司 心房颤动检测
EP3277372A1 (fr) 2015-04-02 2018-02-07 Cardiac Pacemakers, Inc. Détection de fibrillation auriculaire
JP6525461B2 (ja) 2015-04-02 2019-06-05 カーディアック ペースメイカーズ, インコーポレイテッド 心房細動検出の装置及びコンピュータ可読媒体
JP2018511400A (ja) 2015-04-02 2018-04-26 カーディアック ペースメイカーズ, インコーポレイテッド 心房細動検出
US9999368B2 (en) 2015-04-02 2018-06-19 Cardiac Pacemakers, Inc. Atrial fibrillation detection
US10617320B2 (en) 2015-07-30 2020-04-14 Cardiac Pacemakers, Inc. Method to trigger an atrial fibrillation electrogram in an implantable device that detects R-waves
JP2018523518A (ja) 2015-07-30 2018-08-23 カーディアック ペースメイカーズ, インコーポレイテッド 植込み可能なデバイスにおける心房細動電気記録図のトリガ
US20170027462A1 (en) 2015-07-30 2017-02-02 Cardiac Pacemakers, Inc. Method to trigger an atrial fibrillation electrogram in an implantable device that detects r-waves
CN107847746A (zh) 2015-07-30 2018-03-27 心脏起搏器股份公司 在可植入装置中触发心房纤颤电极
JP6653372B2 (ja) 2015-07-30 2020-02-26 カーディアック ペースメイカーズ, インコーポレイテッド 植込み可能なデバイスにおける心房細動電気記録図のトリガ
WO2017019178A1 (fr) 2015-07-30 2017-02-02 Cardiac Pacemakers, Inc. Déclenchement d'électrogrammes de fibrillation auriculaire dans un dispositif implantable
US20170127965A1 (en) * 2015-11-06 2017-05-11 Cardiac Pacemakers, Inc. Method and apparatus for enhancing ventricular based atrial fibrillation detection using atrial activity
WO2017079245A1 (fr) 2015-11-06 2017-05-11 Cardiac Pacemakers, Inc. Système pour une détection de fibrillation auriculaire améliorée
WO2018164840A1 (fr) 2017-03-07 2018-09-13 Cardiac Pacemakers, Inc. Détection de fibrillation auriculaire post-hoc
CN110573211A (zh) 2017-03-07 2019-12-13 心脏起搏器股份公司 事后心房颤动检测

Non-Patent Citations (93)

* Cited by examiner, † Cited by third party
Title
"Application Serial No. PCT/US2016/036146, Invitation to Pay Add'l Fees and Partial Search Report dated Oct. 6, 2016", 7 pgs.
"Australian Application Serial No. 2015301633, First Examiners Report dated Sep. 7, 2017", 3 pgs.
"Australian Application Serial No. 2015301633, Response filed Mar. 21, 2018 to First Examiners Report dated Sep. 7, 2017", 14 pgs.
"Chinese Application Serial No. 201580047246.7, Office Action dated Mar. 6, 2019", w/ English Translation, 19 pgs.
"Chinese Application Serial No. 201580047246.7, Office Action dated Sep. 19, 2019", W/ English Translation, 10 pgs.
"Chinese Application Serial No. 201580047246.7, Response filed Dec. 4, 2019 to Office Action dated Sep. 19, 2019", w/ English claims, 13 pgs.
"Chinese Application Serial No. 201580047246.7, Response Filed Jul. 22, 2019 to Office Action dated Mar. 6, 2019", w/English Claims, 17 pgs.
"Chinese Application Serial No. 201580047246.7, Response to Examiner Telephone Interview filed Dec. 18, 2019", w/ English claims, 10 pgs.
"Chinese Application Serial No. 201680018682.6, Office Action dated May 26, 2020", With English Translation, 8 pgs.
"Chinese Application Serial No. 201680018682.6, Response filed Apr. 10, 2020 to Office Action dated Dec. 2, 2019", w/ English Claims, 14 pgs.
"Chinese Application Serial No. 201680044683.8, Office Action dated Jun. 17, 2020", 10 pgs.
"European Application Serial No. 15757059.9, Communication Pursuant to Article 94(3) EPC dated Jul. 2, 2020", 5 pgs.
"European Application Serial No. 15757059.9, Response filed Sep. 26, 2017 to Communication Pursuant to Rules 161(1) and 162 EPC dated Mar. 21, 2017", 18 pgs.
"European Application Serial No. 16715709.8, Response filed Jun. 27, 2018 to Communication Pursuant to Rules 161(1) and 162 EPC dated Dec. 7, 2017", 28 pgs.
"European Application Serial No. 16730174.6, Communication Pursuant to Article 94(3) EPC dated Dec. 18, 2018", 6 pgs.
"European Application Serial No. 16730174.6, Communication Pursuant to Article 94(3) EPC dated May 28, 2019", 5 pgs.
"European Application Serial No. 16730174.6, Response filed Apr. 18, 2019 to Communication Pursuant to Article 94(3) EPC dated Dec. 18, 2018", 19 pgs.
"European Application Serial No. 16730174.6, Response filed Sep. 25, 2018 to Communication Pursuant to Rules 161 and 162 EPC dated Mar. 23, 2018", 29 pgs.
"European Application Serial No. 16730174.6, Response filed Sep. 30, 2019 to Communication Pursuant to Article 94(3) EPC dated May 28, 2019", 14 pgs.
"European Application Serial No. 18708317.5, Response to Communication Pursuant to Rules 161(1) and 162 EPC filed Mar. 20, 2020", 24 pgs.
"International Application Serial No. PCT/US2015/045042, International Preliminary Report on Patentability dated Feb. 23, 2017", 10 pgs.
"International Application Serial No. PCT/US2015/045042, International Search Report dated Oct. 27, 2015", 6 pgs.
"International Application Serial No. PCT/US2015/045042, Written Opinion dated Oct. 27, 2015", 9 pgs.
"International Application Serial No. PCT/US2016/024463, International Preliminary Report on Patentability dated Oct. 12, 2017", 8 pgs.
"International Application Serial No. PCT/US2016/024463, International Search Report dated Jun. 17, 2016", 6 pgs.
"International Application Serial No. PCT/US2016/024463, Written Opinion dated Jun. 17, 2016", 6 pgs.
"International Application Serial No. PCT/US2016/036146, International Preliminary Report on Patentability dated Feb. 8, 2018", 12 pgs.
"International Application Serial No. PCT/US2016/036146, International Search Report dated Dec. 7, 2016", 5 pgs.
"International Application Serial No. PCT/US2016/036146, Written Opinion dated Dec. 7, 2016", 10 pgs.
"International Application Serial No. PCT/US2016/060050, International Search Report dated Feb. 6, 2017", 4 pgs.
"International Application Serial No. PCT/US2016/060050, Written Opinion dated Feb. 6, 2017", 5 pgs.
"International Application Serial No. PCT/US2018/018974, International Preliminary Report on Patentability dated Sep. 19, 2019", 8 pgs.
"International Application Serial No. PCT/US2018/018974, International Search Report dated Apr. 20, 2018", 5 pgs.
"International Application Serial No. PCT/US2018/018974, Written Opinion dated Apr. 20, 2018", 6 pgs.
"Japanese Application Serial No. 2017-508064, Office Action dated Mar. 6, 2018", With English Translation, 4 pgs.
"Japanese Application Serial No. 2017-508064, Response filed May 30, 2018 to Office Action dated Mar. 6, 2018", w/ English claims, 10 pgs.
"Japanese Application Serial No. 2017-550731, Notification of Reasons for Refusal dated Dec. 18, 2018", w/ English summary, 6 pgs.
"Japanese Application Serial No. 2017-550731, Office Action dated Sep. 4, 2018", w/ English translation (machine), 8 pgs.
"Japanese Application Serial No. 2017-550731, Response filed Mar. 15, 2019 to Notification of Reasons for Refusal dated Dec. 18, 2018", w/ English claims, 6 pgs.
"Japanese Application Serial No. 2017-550731, Response filed Nov. 28, 2018 to Office Action dated Sep. 4, 2018", w/ English claims, 8 pgs.
"Japanese Application Serial No. 2018-504913, Notification of Reasons for Rejection dated Nov. 13, 2018", W/English Translation, 12 pgs.
"Japanese Application Serial No. 2018-504913, Response filed Apr. 15, 2019 to Notification of Reasons for Rejection dated Nov. 13, 2018", w/ English claims, 11 pgs.
"Japanese Application Serial No. 2018-504913, Response filed Dec. 2, 2019 to Final Notification of Reasons for Refusal dated Sep. 3, 2019", w/ English claims, 8 pgs.
"U.S. Appl. No. 14/825,669, Advisory Action dated May 3, 2017", 3 pgs.
"U.S. Appl. No. 14/825,669, Appeal Brief filed Dec. 26, 2017", 17 pgs.
"U.S. Appl. No. 14/825,669, Appeal Decision mailed May 13, 2020", 13 pgs.
"U.S. Appl. No. 14/825,669, Final Office Action dated Mar. 9, 2017", 13 pgs.
"U.S. Appl. No. 14/825,669, Non Final Office Action dated Jun. 23, 2017", 9 pgs.
"U.S. Appl. No. 14/825,669, Non Final Office Action dated Sep. 27, 2016", 9 pgs.
"U.S. Appl. No. 14/825,669, Response filed Apr. 24, 2017 to Final Office Action dated Mar. 9, 2017", 12 pgs.
"U.S. Appl. No. 14/825,669, Response filed Jun. 8, 2017 to Final Office Action dated Mar. 9, 2017", 14 pgs.
"U.S. Appl. No. 15/082,440, Corrected Notice of Allowance dated Feb. 9, 2018", 5 pgs.
"U.S. Appl. No. 15/082,440, Examiner Interview Summary dated Sep. 6, 2017", 2 pgs.
"U.S. Appl. No. 15/082,440, Non Final Office Action dated Jun. 21, 2017", 9 pgs.
"U.S. Appl. No. 15/082,440, Notice of Allowance dated Jan. 18, 2018", 8 pgs.
"U.S. Appl. No. 15/082,440, Notice of Allowance dated Sep. 25, 2017", 10 pgs.
"U.S. Appl. No. 15/082,440, Response filed May 17, 2017 to Restriction Requirement dated May 30, 2017", 9 pgs.
"U.S. Appl. No. 15/082,440, Response filed Sep. 5, 2017 to Non Final Office Action dated Jun. 21, 2017", 14 pgs.
"U.S. Appl. No. 15/082,440, Restriction Requirement dated Mar. 30, 2017", 7 pgs.
"U.S. Appl. No. 15/175,151, Advisory Action dated Oct. 2, 2018", 3 pgs.
"U.S. Appl. No. 15/175,151, Advisory Action dated Oct. 23, 2019", 4 pgs.
"U.S. Appl. No. 15/175,151, Advisory Action dated Sep. 12, 2019", 3 pgs.
"U.S. Appl. No. 15/175,151, Examiner Interview Summary dated Jan. 21, 2020", 3 pgs.
"U.S. Appl. No. 15/175,151, Final Office Action dated Aug. 2, 2018", 10 pgs.
"U.S. Appl. No. 15/175,151, Final Office Action dated Jul. 5, 2019", 8 pgs.
"U.S. Appl. No. 15/175,151, Non Final Office Action dated Dec. 31, 2018", 8 pgs.
"U.S. Appl. No. 15/175,151, Non Final Office Action dated Feb. 23, 2018", 10 pgs.
"U.S. Appl. No. 15/175,151, Notice of Allowance dated Dec. 4, 2019", 7 pgs.
"U.S. Appl. No. 15/175,151, Response filed Jan. 23, 2018 to Restriction Requirement dated Dec. 7, 2017", 9 pgs.
"U.S. Appl. No. 15/175,151, Response filed Mar. 25, 2019 to Non Final Office Action dated Dec. 31, 2018", 11 pgs.
"U.S. Appl. No. 15/175,151, Response filed May 14, 2018 to Non Final Office Action dated Feb. 23, 2018", 14 pgs.
"U.S. Appl. No. 15/175,151, Response filed Oct. 7, 2019 to Advisory Action dated Sep. 12, 2019", 13 pgs.
"U.S. Appl. No. 15/175,151, Response filed Sep. 25, 2018 to Final Office Action dated Aug. 2, 2018", 11 pgs.
"U.S. Appl. No. 15/175,151, Response filed Sep. 3, 2019 to Final Office Action dated Jul. 5, 2019", 12 pgs.
"U.S. Appl. No. 15/175,151, Restriction Requirement dated Dec. 7, 2017", 6 pgs.
"U.S. Appl. No. 15/175,151,Pre-Appeal Brief Request for Review filed Nov. 4, 2019", 5 pgs.
"U.S. Appl. No. 15/967,326, Advisory Action dated Mar. 14, 2019", 3 pgs.
"U.S. Appl. No. 15/967,326, Final Office Action dated Aug. 7, 2019", 6 pgs.
"U.S. Appl. No. 15/967,326, Final Office Action dated Jan. 3, 2019", 11 pgs.
"U.S. Appl. No. 15/967,326, Non Final Office Action dated Apr. 18, 2019", 9 pgs.
"U.S. Appl. No. 15/967,326, Non Final Office Action dated Jun. 29, 2018", 9 pgs.
"U.S. Appl. No. 15/967,326, Notice of Allowance dated Sep. 16, 2019", 7 pgs.
"U.S. Appl. No. 15/967,326, Response filed Aug. 20, 2019 to Final Office Action dated Aug. 7, 2019", 8 pgs.
"U.S. Appl. No. 15/967,326, Response filed Feb. 21, 2019 to Final Office Action dated Jan. 3, 2019", 11 pgs.
"U.S. Appl. No. 15/967,326, Response filed Jul. 18, 2019 to Non Final Office Action dated Apr. 18, 2019", 8 pgs.
"U.S. Appl. No. 15/967,326, Response filed Sep. 24, 2018 to Non Final Office Action dated Jun. 29, 2018", 13 pgs.
Babaeizadeh, Saeed, et al., "Improvements in atrial fibrillation detection for real-time monitoring", Journal of Electrocardiology, Elsevier Science vol. 42, No. 6,, (Nov. 1, 2009), 522-526.
Esperer, et al., "Cardiac arrhythmias imprint specific signatures on Lorenz plots", Ann Noninvasive Electrocardiol, (2008), 44-60 pgs.
Pürerfellner, H., et al., "P-wave evidence as a method for improving algorithm to detect atrial fibrillation in insertable cardiac monitors", Heart Rhythm; vol. 11, Issue 9, (Sep. 2014), 1575-1583.
Tateno, K, et al., "Automatic detection of atrial fibrillation using the coefficient of variation and density histograms of RR and RR intervals", Medical and Biological Engineering and Computing, vol. 39, No. 6 (Nov. 1, 2011), 664-671.
U.S. Appl. No. 14/825,669, filed Aug. 13, 2015, Atrial Fibrillation Detection Using Ventricular Rate Variability.
U.S. Appl. No. 15/082,440, filed Mar. 28, 2016, Atrial Fibrillation Detection.
U.S. Appl. No. 15/175,151, filed Jun. 7, 2016, A Method to Trigger an Atrial Fibrillation Electrogram in an Implantable Device That Detects R-Waves.

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11051746B2 (en) 2014-08-14 2021-07-06 Cardiac Pacemakers, Inc. Atrial fibrillation detection using ventricular rate variability

Also Published As

Publication number Publication date
CN110573211A (zh) 2019-12-13
EP3592419B1 (fr) 2021-07-14
JP2020509840A (ja) 2020-04-02
US20180256053A1 (en) 2018-09-13
JP6946448B2 (ja) 2021-10-06
WO2018164840A1 (fr) 2018-09-13
EP3592419A1 (fr) 2020-01-15
CN110573211B (zh) 2023-05-23

Similar Documents

Publication Publication Date Title
US11382552B2 (en) Reducing false alarms in cardiac monitoring devices
US10881317B2 (en) Post-hoc atrial fibrillation detection
US10542902B2 (en) Atrial fibrillation detection
US10702167B2 (en) Method to trigger storage of onset of physiologic condition in an implantable device
US11172863B2 (en) Method and apparatus for verifying bradycardia/asystole episodes via detection of under-sensed events
US9730604B2 (en) Methods for detecting atrial tachyarrhythmia in implantable devices without dedicated atrial sensing
US20120004567A1 (en) Rhythm correlation diagnostic measurement
US8744556B2 (en) Noise detection in implantable medical devices
US8403830B2 (en) Rhythm discrimination enhancement—AV drive
US10617320B2 (en) Method to trigger an atrial fibrillation electrogram in an implantable device that detects R-waves
US10201289B2 (en) Measuring atrial fibrillation burden using implantable device based sensors

Legal Events

Date Code Title Description
AS Assignment

Owner name: CARDIAC PACEMAKERS, INC., MINNESOTA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:PERSCHBACHER, DAVID L.;SAHA, SUNIPA;SIGNING DATES FROM 20180212 TO 20180220;REEL/FRAME:044989/0782

FEPP Fee payment procedure

Free format text: ENTITY STATUS SET TO UNDISCOUNTED (ORIGINAL EVENT CODE: BIG.); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: NOTICE OF ALLOWANCE MAILED -- APPLICATION RECEIVED IN OFFICE OF PUBLICATIONS

STCF Information on status: patent grant

Free format text: PATENTED CASE